databricks

DECEMBER 14, 2022

At Databricks, we run our compute infrastructure on AWS, Azure, and GCP. We orchestrate containerized services using Kubernetes clusters. We develop and manage.

Azure 130

Azure Clustering AWS 130

Towards AI

MARCH 3, 2025

In this post, well explore how different Azure disk types perform under distributed database workloads, using YugabyteDB as our distributed database. Well dive deep into benchmarking methodologies and reveal practical insights about Azure storage performance characteristics.

Azure 92

Azure Database Clustering Data Engineer 92

Data Science Dojo

FEBRUARY 20, 2023

It provides a large cluster of clusters on a single machine. AWS SageMaker is useful for creating basic models, including regression, classification, and clustering. Microsoft Azure Machine Learning Microsoft Azure Machine Learning is a set of tools for creating, managing, and analyzing models.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. AWS Parallel Cluster for Machine Learning AWS Parallel Cluster is an open-source cluster management tool.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Data Science Dojo

JULY 17, 2023

Scikit-learn can be used for a variety of data analysis tasks, including: Classification Regression Clustering Dimensionality reduction Feature selection Leveraging Scikit-learn in data analysis projects Scikit-learn can be used in a variety of data analysis projects. RapidMiner was also used by the World Bank to develop a poverty index.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

Data Science Blog

JUNE 30, 2023

The skill clusters are formed via the discipline of Topic Modelling , a method from unsupervised machine learning , which show the differences in the distribution of requirements between them. DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC).

Data Engineer 130

Data Engineer Data Engineering Data Engineering Data Engineering 130

Flipboard

JULY 7, 2025

The key here is to focus on concepts like supervised vs. unsupervised learning, regression, classification, clustering, and model evaluation. LLMOps Instructional Video Series - A comprehensive 5-part series with live demonstrations in Azure AI Studio, guiding you through various aspects of LLMOps.

Natural Language Processing 160

Natural Language Processing Machine Learning Machine Learning Data Science 160

Mlearning.ai

JANUARY 28, 2023

Close to 30 minutes for 1TB Now read from parquet Create a Azure AD app registration Create a secret Store the clientid, secret, and tenantid in a keyvault add app id as data user, and also ingestor Provide contributor in Access IAM of the ADX cluster. format("com.microsoft.kusto.spark.datasource"). mode("Append").

Azure 52

Azure Clustering Analytics Analytics 52

Towards AI

MARCH 3, 2025

In this post, well explore how different Azure disk types perform under distributed database workloads, using YugabyteDB as our distributed database. Well dive deep into benchmarking methodologies and reveal practical insights about Azure storage performance characteristics.

Azure 61

Azure Database Clustering Data Engineer 61

IBM Journey to AI blog

NOVEMBER 21, 2023

Azure is Microsoft’s public cloud platform. Azure offers a large collection of services, which includes platform as a service (PaaS), infrastructure as a service (IaaS) and managed database service capabilities. Azure Marketplace serves as the conduit through which this deployment is made possible.

Azure 52

Azure Clustering Database Analytics 52

Mlearning.ai

APRIL 24, 2023

I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science. But, since I did not know Azure or AWS, I was trying to horribly re-code them by hand with python and pandas; knowing these services on the cloud platform could have saved me a lot of time, energy, and stress.

Azure 52

Azure SQL Database Python 52

Mlearning.ai

JANUARY 28, 2023

Submission Suggestions Move Microsoft Graph metadata to Azure Data Explorer using pandas dataframe was originally published in MLearning.ai on Medium, where people are continuing the conversation by highlighting and responding to this story.

Azure 52

Azure Clustering Machine Learning Machine Learning 52

Hacker News

NOVEMBER 12, 2023

Microsoft’s cloud computing arm, Azure, tested a system of the exact same size and were behind Eos by mere seconds. Azure powers GitHub’s coding assistant CoPilot and OpenAI’s ChatGPT.) We delivered more than what was promised—a 103 percent reduction in time-to-train for a 384-accelerator cluster.”

AI 177

AI AI Cloud Computing Azure 177

Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster.

Azure 52

Azure ML ML Data Science 52

Dataconomy

FEBRUARY 27, 2025

Machine Learning (ML) algorithms: Clustering: Identification of similar data subsets. This integration serves to elevate the efficiency and effectiveness of search processes. Advanced AI integration Natural Language Processing (NLP): Enhances the understanding of unstructured data. Classification: Labeling new data based on existing datasets.

Natural Language Processing 91

Natural Language Processing Azure Clustering Machine Learning 91

Mlearning.ai

FEBRUARY 18, 2023

Submission Suggestions Predictive Maintenance using Azure Machine Learning AutoML and Inference using Managed Online… was originally published in MLearning.ai setup environment env = Environment( name="automl-tabular-env", description="environment for automl inference", #image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1",

Azure 52

Azure Machine Learning Machine Learning Clustering 52

IBM Journey to AI blog

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services.

Azure 93

Azure Database Clustering Data Visualization 93

phData

JUNE 11, 2025

External tables : External tables will allow us to query data stored in external cloud storage services like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage without loading the data into Snowflake. Always set the minimum cluster count to 1 to prevent over-provisioning.

Clustering 59

Clustering SQL Database Data Lakes 59

Data Science Dojo

MAY 7, 2024

Performance and Innovation Meta’s LLaMA 3 has been trained on significantly larger datasets compared to earlier versions, utilizing custom-built GPU clusters that enable it to process vast amounts of data efficiently.

AI 332

AI AI Azure Clustering 332

Towards AI

JANUARY 6, 2025

Build expertise in computer vision, clustering algorithms, deep learning essentials, multi-agent reinforcement, DQN, and more. USAII is an esteemed member of the Institute for Credentialing Excellence and ANSI. With speedster discounts and other on-program perks; you are sure to benefit from this world-class top AI certification.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

IBM Journey to AI blog

OCTOBER 17, 2023

The key components of Instana are host agents and agent sensors deployed on platforms like IBM Cloud®, AWS, and Azure. Supported cloud platforms with IBM Instana IBM Instana supports IBM Cloud, AWS, Azure and SAP. Currently, Instana supports SAP BTP Kyma cluster monitoring.

Clustering 92

Clustering Azure AWS Database 92

Smart Data Collective

SEPTEMBER 8, 2021

It then performs transformations using the Hadoop cluster or the features of the database. Azure Data Factory : This is a fully managed service that connects to a wide range of On-Premise and Cloud sources. It can easily transform, copy, and enrich the data, finally writing it to Azure data services as a destination.

ETL 126

ETL Hadoop Data Warehouse Data Pipeline 126

Pickl AI

FEBRUARY 23, 2025

Apache Hadoop Apache Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Statistics Kafka handles over 1.1

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

IBM Journey to AI blog

JULY 16, 2024

To ensure high availability and scalability, the mainframe is supported by a cluster of servers that work together to handle the bank’s computing needs. In addition to its mainframe, the bank has a strong relationship with Microsoft and leverages Microsoft Azure cloud platform to extend its IT infrastructure.

Azure 40

Azure Clustering AI AI 40

ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics. All processing and machine-learning-related tasks are implemented in the analytics platform.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

IBM Journey to AI blog

FEBRUARY 15, 2024

Autoscaling When traffic spikes, Kubernetes can automatically spin up new clusters to handle the additional workload. However, unlike VMs, Kubernetes orchestrates container interactions that transcend apps and clusters. This includes data in CI/CD pipelines (which feed into K8s clusters) and GitOps workflows (which power K8s clusters).

Clustering 84

Clustering Azure Data Visualization AWS 84

Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

Internet of Things 156

Internet of Things Azure Cloud Computing AWS 156

Women in Big Data

NOVEMBER 27, 2024

Architecture At its core, Redshift consists of clusters made up of compute nodes, coordinated by a leader node that manages communications, parses queries, and executes plans by distributing tasks to the compute nodes. Its PostgreSQL foundation ensures compatibility with most SQL clients.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Smart Data Collective

JUNE 4, 2021

Clustering (Unsupervised). With Clustering the data is divided into groups. By applying clustering based on distance, the villages are divided into groups. The center of each cluster is the optimal location for setting up health centers. The center of each cluster is the optimal location for setting up health centers.

Data Science 132

Data Science Exploratory Data Analysis Machine Learning Machine Learning 132

IBM Journey to AI blog

NOVEMBER 13, 2023

Nodes run the pods and are usually grouped in a Kubernetes cluster, abstracting the underlying physical hardware resources. As an open-source system, Kubernetes services are supported by all the leading public cloud providers, including IBM, Amazon Web Services (AWS), Microsoft Azure and Google.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Pickl AI

DECEMBER 26, 2024

High-Performance Computing (HPC) Clusters These clusters combine multiple GPUs or TPUs to handle extensive computations required for training large generative models. The demand for advanced hardware continues to grow as organisations seek to develop more sophisticated Generative AI applications.

AI 52

AI AI Deep Learning Deep Learning 52

Flipboard

JUNE 13, 2025

Unsupervised Learning: Focuses on identifying patterns in unlabeled data, such as clustering customers based on purchasing behavior or reducing data dimensions for visualization. Cloud Computing: Scaling AI Solutions Cloud computing platforms like AWS, Google Cloud, and Microsoft Azure are indispensable for deploying and scaling AI models.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Data Science 101

OCTOBER 12, 2023

I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. So you use a lot of the Azure tools in your job? It’s petabytes of data, so a lot of my time is spent processing it.

Azure 64

Azure Computer Science Computer Science Clustering 64

DataRobot Blog

OCTOBER 4, 2022

In this blog, we’ll review the DataRobot new Time Series clustering feature, which gives you a creative edge to build time series forecasting models by automatically grouping series that are identical to each other and then building models tailored to these groups. You can also connect to Snowflake, Azure, Redshift and many other databases.

Clustering 59

Clustering AI AI Azure 59

Snorkel AI

MARCH 18, 2024

Through the Pegasus program, Snorkel has access to premier sales resources and technical assets to accelerate AI workloads including early access to Azure AI services, leading models from OpenAI and Mistral, and accelerated high-performance compute. Snorkel’s recent top tier ranking on the AlpacaEval 2.0 LLM leaderboard.

Azure 52

Azure AI AI Clustering 52

AWS Machine Learning Blog

SEPTEMBER 12, 2024

Organizations that want to build their own models or want granular control are choosing Amazon Web Services (AWS) because we are helping customers use the cloud more efficiently and leverage more powerful, price-performant AWS capabilities such as petabyte-scale networking capability, hyperscale clustering, and the right tools to help you build.

AWS 97

AWS AI AI Clustering 97

phData

NOVEMBER 8, 2024

Partitioning and clustering features inherent to OTFs allow data to be stored in a manner that enhances query performance. Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions.

Data Lakes 52

Data Lakes Data Warehouse Azure Database 52